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EMNIST_Balanced

EMNIST_Balanced

active ARFF Publicly available Visibility: public Uploaded 05-03-2018 by Irfan Nur Afif
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EMNIST Balanced https://www.nist.gov/itl/iad/image-group/emnist-dataset

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pixel730numeric8 unique values
0 missing
pixel219numeric256 unique values
0 missing
pixel475numeric67 unique values
0 missing
pixel731numeric45 unique values
0 missing
pixel220numeric256 unique values
0 missing
pixel476numeric2 unique values
0 missing
pixel732numeric64 unique values
0 missing
pixel221numeric255 unique values
0 missing
pixel477numeric3 unique values
0 missing
pixel733numeric85 unique values
0 missing
pixel222numeric249 unique values
0 missing
pixel478numeric91 unique values
0 missing
pixel734numeric94 unique values
0 missing
pixel223numeric79 unique values
0 missing
pixel479numeric252 unique values
0 missing
pixel735numeric97 unique values
0 missing
pixel224numeric2 unique values
0 missing
pixel480numeric256 unique values
0 missing
pixel736numeric93 unique values
0 missing
pixel225numeric1 unique values
0 missing
pixel481numeric256 unique values
0 missing
pixel737numeric88 unique values
0 missing
pixel226numeric51 unique values
0 missing
pixel482numeric256 unique values
0 missing
pixel738numeric75 unique values
0 missing
pixel227numeric233 unique values
0 missing
pixel483numeric256 unique values
0 missing
pixel739numeric69 unique values
0 missing
pixel228numeric254 unique values
0 missing
pixel484numeric256 unique values
0 missing
pixel740numeric74 unique values
0 missing
pixel229numeric256 unique values
0 missing
pixel485numeric256 unique values
0 missing
pixel741numeric70 unique values
0 missing
pixel230numeric256 unique values
0 missing
pixel486numeric256 unique values
0 missing
pixel742numeric68 unique values
0 missing
pixel231numeric256 unique values
0 missing
pixel487numeric256 unique values
0 missing
pixel743numeric63 unique values
0 missing
pixel232numeric256 unique values
0 missing
pixel488numeric256 unique values
0 missing
pixel744numeric70 unique values
0 missing
pixel233numeric256 unique values
0 missing
pixel489numeric256 unique values
0 missing
pixel745numeric67 unique values
0 missing
pixel234numeric256 unique values
0 missing
pixel490numeric256 unique values
0 missing
pixel746numeric66 unique values
0 missing
pixel235numeric256 unique values
0 missing
pixel491numeric256 unique values
0 missing
pixel747numeric70 unique values
0 missing
pixel236numeric256 unique values
0 missing
pixel492numeric256 unique values
0 missing
pixel748numeric55 unique values
0 missing
pixel237numeric256 unique values
0 missing
pixel493numeric256 unique values
0 missing
pixel749numeric56 unique values
0 missing
pixel238numeric256 unique values
0 missing
pixel494numeric256 unique values
0 missing
pixel750numeric54 unique values
0 missing
pixel239numeric256 unique values
0 missing
pixel495numeric256 unique values
0 missing
pixel751numeric42 unique values
0 missing
pixel240numeric256 unique values
0 missing
pixel496numeric256 unique values
0 missing
pixel752numeric39 unique values
0 missing
pixel241numeric256 unique values
0 missing
pixel497numeric256 unique values
0 missing
pixel753numeric34 unique values
0 missing
pixel242numeric256 unique values
0 missing
pixel498numeric256 unique values
0 missing
pixel754numeric24 unique values
0 missing
pixel243numeric256 unique values
0 missing
pixel499numeric256 unique values
0 missing
pixel755numeric7 unique values
0 missing
pixel244numeric256 unique values
0 missing
pixel500numeric256 unique values
0 missing
pixel756numeric1 unique values
0 missing
pixel245numeric256 unique values
0 missing
pixel501numeric255 unique values
0 missing
pixel757numeric1 unique values
0 missing
pixel246numeric256 unique values
0 missing
pixel502numeric248 unique values
0 missing
pixel758numeric1 unique values
0 missing
pixel247numeric256 unique values
0 missing
pixel503numeric64 unique values
0 missing
pixel759numeric2 unique values
0 missing
pixel248numeric256 unique values
0 missing
pixel504numeric2 unique values
0 missing
pixel760numeric5 unique values
0 missing
pixel249numeric256 unique values
0 missing
pixel505numeric4 unique values
0 missing
pixel761numeric8 unique values
0 missing
pixel250numeric251 unique values
0 missing
pixel506numeric92 unique values
0 missing
pixel762numeric6 unique values
0 missing
pixel251numeric83 unique values
0 missing
pixel507numeric253 unique values
0 missing
pixel763numeric6 unique values
0 missing
pixel252numeric4 unique values
0 missing
pixel508numeric256 unique values
0 missing
pixel764numeric6 unique values
0 missing
pixel253numeric1 unique values
0 missing
pixel509numeric256 unique values
0 missing
pixel765numeric6 unique values
0 missing
pixel254numeric53 unique values
0 missing
pixel510numeric256 unique values
0 missing
pixel766numeric5 unique values
0 missing
pixel255numeric231 unique values
0 missing
pixel511numeric256 unique values
0 missing
pixel767numeric6 unique values
0 missing
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0 missing

62 properties

131600
Number of instances (rows) of the dataset.
785
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
784
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
72.25
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.79
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
131600
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
69.54
Third quartile of kurtosis among attributes of the numeric type.
125.22
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
99.87
Percentage of numeric attributes.
89.26
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
47
The minimal number of distinct values among attributes of the nominal type.
0.13
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
47
The maximum number of distinct values among attributes of the nominal type.
-0.01
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
7.89
Third quartile of skewness among attributes of the numeric type.
362.77
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
-1.44
First quartile of kurtosis among attributes of the numeric type.
103.54
Third quartile of standard deviation of attributes of the numeric type.
109.03
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.62
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
7383.61
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
0.57
First quartile of skewness among attributes of the numeric type.
44.67
Mean of means among attributes of the numeric type.
4.75
First quartile of standard deviation of attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
1.2
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.01
Number of attributes divided by the number of instances.
47
Average number of distinct values among the attributes of the nominal type.
33.48
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
29.06
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
60
Mean standard deviation of attributes of the numeric type.
1.67
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

7 tasks

73 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
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